Publications

Journal Papers

    1. Botvinik-Nezer, R., ..., Kassinopoulos, M. ,..., Mitsis, G.D., ..., Poline, J.B., ..., Xifra-Porxas, A., ..., Nichols, T.E., Poldrack, R.A. and T. Schonberg “Variability in the analysis of a single neuroimaging dataset by many teams,” Nature 582: 84-88, 2020.

    2. Mitsis, G.D., Christodoulakis, M., Anastasiadou, M., Papathanasiou, E.S., Papacostas, S.S., and A. Hadjipapas “Multi-scale periodicities in the functional brain networks of patients with epilepsy and their effect on seizure detection,” Human Brain Mapping 41(8): 2059-2076, 2020.

    3. Savva, A., Kassinopoulos, M., Smyrnis, I., Matsopoulos, G.K. and G.D. Mitsis “Effects of Motion-related artifacts on Dynamic Functional Connectivity using the Sliding Window Method,” Journal of Neuroscience Methods 330: 108519, 2020.

    4. Patmanidis, S., Charalampidis, A.C., Kordonis, I., Mitsis, G.D. and G.P. Papavassilopoulos “Individualized Tumor Growth Modeling and Prediction on Mice Skin Tumors with Maximum Likelihood Estimators,” Computer Methods and Programs in Biomedicine 185: 105165, 2020.

    5. Elting, J.W., Sanders, M.L., Panerai, R.B., Aries, M., Bor-Seng-Shu, E., Caicedo, A., Chacon, M., Gommer, E.D., Van Huffel, S., Jara, J.L., Kostoglou, K., Mahdi, A., Marmarelis, V.Z., Mitsis, G.D., Müller, M., Nikolic, D., Nogueira, R., Payne, S.J., Puppo, C., Shin, D.C., Simpson, D.M., Tarumi, T., Yelicich, B., Zhang, R., Claassen, J.A.H.R. “Assessment of Dynamic Cerebral Autoregulation in humans: the role of blood pressure variability in reproducibility,” PLoS One, 15(1): e0227651, 2020.

    6. Xifra-Porxas, A., Niso, G., Larivière, S., Kassinopoulos, M., Baillet, S., G.D. Mitsis and M.H. Boudrias “Older adults exhibit a more pronounced modulation of beta oscillations when performing sustained and dynamic handgrips,” Neuroimage 201: 116037, 2019.

    7. Ghosh, A., Dal Maso, F., Roig, M., Mitsis, G.D. and M.H. Boudrias “Unfolding the effects of acute cardiovascular exercise on motor learning: A deep learning approach,” Frontiers in Neuroscience 13: 1215, 2019.

    8. Kassinopoulos, M. and G.D. Mitsis “Identification of Physiological Response Functions to Correct for Fluctuations in Resting-State fMRI related to Heart Rate and Respiration,” Neuroimage 202, 116150, 2019.

    9. Robertson, A.D., Atwi, S., Kostoglou, K., Verhoeff, P., Mitsis, G.D., Marzolini, S. and B.J. Macintosh “Cerebrovascular pulsatility during rest and exercise reflects hemodynamic impairment in stroke and cerebral small vessel disease,” Ultrasound in Medicine and Biology 45(12), 3116-3127, 2019.

    10. Kostoglou, K., Robertson, A.D., Macintosh, B.J. and G.D. Mitsis “A novel framework for estimating time-varying multivariate autoregressive models and application to cardiovascular responses to acute exercise,” IEEE Transactions on Biomedical Engineering 66 (11), 3257-3266, 2019.

    11. Sanders, M.L., Elting, J.W, Panerai, R.B., Aries, M., Bor-Seng-Shu, E., Caicedo, A., Chacon, M., Gommer, E., Van Huffel, S., Jara, J.L., Kostoglou, K., Mahdi, A., Marmarelis, V.Z., Mitsis, G.D., Müller, M., Nikolic, D., Nogueira, R., Payne, S.J., Puppo, C., Shin, D.C., Simpson, D.M., Tarumi, T., Yelicich, B., Zhang, R., Claassen, J.A.H.R., ”Dynamic cerebral autoregulation reproducibility is affected by physiological variability,” Frontiers in Physiology 10: 865, 2019.

    12. Lariviere, S., Xifra-Porxas, A., Kassinopoulos, M., Niso, G., Baillet, S., Mitsis, G.D. and M.H. Boudrias, “Functional and effective reorganization of the aging brain during unimanual and bimanual hand movements,” Human Brain Mapping 40 (10): 3027-3040, 2019.

    13. Savva, A., G.D. Mitsis and G.K. Matsopoulos “A Comprehensive Study of the Sliding Window Technique for Assessing Dynamic Functional Connectivity in Resting-State fMRI”, Brain and Behavior 9 (4): e01255, 2019.

    14. Anastasiadou, M., Christodoulakis, M., Papathanasiou, E.S., Papacostas, S.S., Hadjipapas, A. and G.D. Mitsis “The effect of reference choice on long-duration EEG functional brain network characteristics and their correlation to seizure onset in patients with epilepsy,” Frontiers in Neuroscience 13: 221, 2019.

    15. Prokopiou, P., Pattinson K.T.S., Wise, R.G. and G.D. Mitsis “Modeling of dynamic cerebrovascular reactivity to spontaneous and externally induced CO2 fluctuations in the human brain using BOLD-fMRI,” Neuroimage 186 (2): 533-548, 2019.

    16. Kostoglou, K., Schondorf, R. and G.D. Mitsis “Estimation of time-varying, multiple-input nonlinear systems using basis expansions,” Signal Processing 155: 287-300, 2019.

    17. G.D. Mitsis “On the choice of optimal stimulus type for assessing dynamic cerebral autoregulation,” The Journal of Physiology 0.0: 1-8, 2018.

    18. Sanders, M.L., Claassen, J., Aries, M., Bor-Seng-Shu, E., Caicedo, A., Chacon, M., Gommer, E., Van Huffel, S., Jara, J., Kostoglou, K., Mahdi, A., Marmarelis, V., Mitsis, G.D., Müller, M., Nikolic, D., Nogueira, R., Payne, S., Puppo, C., Shin, D., Simpson, D., Tarumi, T., Yelicich, B., Zhang, R., Panerai, R., Elting, J.W. “Reproducibility of dynamic cerebral autoregulation parameters: a multi-centre, multi-method study,” Physiological Measurement 125 (12): 125002, 2018.

    19. Iacovides, D., Loizides, C.L., Mitsis, G.D. and K.S. Strati “Whole Transcriptome Sequencing of 5-FU Sensitive and 5-FU Resistant Tumors in a Mouse Model of de novo Carcinogenesis”, Data in Brief 20: 1602-1606, 2018.

    20. Patmanidis, S., Charalampidis, A.C., Kordonis, I., Mitsis, G.D. and G.P. Papavassilopoulos “Tumor Growth Modeling: Parameter estimation with Maximum Likelihood methods,” Computer Methods and Programs in Biomedicine 160: 1-10, 2018.

    21. Iakovidou, N.D., Laskaris, N.A., Tsichlas, C., Christodoulakis, M., Papathanasiou, E.S., Papacostas, S.S, and G.D. Mitsis “A symbolic dynamics approach to Epileptic Chronnectomics: employing strings to predict crisis onset,” Theoretical Computer Science 710: 116-125, 2018.

    22. Anastasiadou, M., Christodoulakis, M., Papathanasiou, E.S., Papacostas, S.S. and G.D. Mitsis “Unsupervised Detection and Removal of Muscle Artifacts from Scalp EEG Recordings using Canonical Correlation Analysis, Wavelets and Random Forests,” Clinical Neurophysiology 128: 1755-1769, 2017.

    23. Michmizos, K.P., Lindqvist, B., Wong, S., Hargreaves, E.L., Mitsis, G.D., Danish, S.F., Nikita, K.S. “Computational Neuromodulation: Future Challenges for Deep Brain Stimulation,” IEEE Signal Processing Magazine 34 (2): 114-119, 2017.

    24. Kostoglou, K. Michmizos, K.P., Stathis, P., Sakas, D., Nikita, K.S. and G.D. Mitsis “Prediction of the Unified Parkinson's Disease Rating Scale Improvement in Deep Brain Stimulation,” IEEE Transactions on Biomedical Engineering, 64 (5): 1123-1130, 2017.

    25. Waltz, X., Beaudin, A.E., Hanly, P.J., Mitsis, G.D. and M.J. Poulin “Cerebral autoregulation impairment relies on OSA severity without effects of CPAP treatment,” The Journal of Physiology, 594(23): 7089-7104, 2016.

    26. Claassen, J.A., Meel-Van Den Abeelen, A.S., Simpson, D.M., Panerai, R.B., Dorado A.C., Mitsis, G.D., Brassard, P., Ainslie, P.N., Summers, P., Iwasaki, K., Ragauskas, A., Tzeng, Y.-C., Müller, M., Wang, C.-Y., Hu, H.H., Gommer, E., Karemaker, J.M., Aries, M., Van Lieshout, J.J., Semenyuti, V., Aliev, V., Potter, J., Smielewski, P., Liu, X., Czosnyka, M., Payne, S., Bailey, D., Yelicich, B., Puppo, C., Shin, D., Rickards, C.A., Serrador, J., Zhang, R., Marmarelis, V.Z., Novak, V. “Transfer function analysis of dynamic cerebral autoregulation: a white paper from the International Cerebral Autoregulation Research Network (CARNet)”, Journal of Cerebral Blood Flow and Metabolism 36 (4): 665 – 680, 2016.

    27. Marmarelis V.Z., G.D. Mitsis, D.C. Shin and R. Zhang “Multivariate Nonlinear Modeling of Cerebral Hemodynamics Using Spontaneous Arterial Blood Pressure, End-Tidal CO2 and Heart Rate Variability Measurements,” Philosophical Transactions of the Royal Society A A 374.2067: 2015018, 2016.

    28. Nikolaou, F., Orphanidou, C. Papakyriakou, P., Wise, R.G. and G.D. Mitsis “Spontaneous Physiological Variability Modulates Dynamic Functional Connectivity in Resting-State fMRI,” Philosophical Transactions of the Royal Society A 74.2067: 20150180, 2016.

    29. Charalambides, A.C., Pontikis, K., Mitsis, G.D., Dimitriadis, G., Armaganidis, A., Marmarelis, V.Z. and G.P. Papavassilopoulos “Calibration of a Microdialysis Sensor and Recursive Glucose Level Estimation in ICU Patients Using Kalman and Particle Filtering” Biomedical Signal Processing and Control 27: 155-163, 2016.

    30. Loizides, C., Iacovides D., Hadjiandreou M.M, Rizki G., Achilleos, A., Strati, K. and G.D. Mitsis “Model-based Tumor Growth Dynamics in a Mouse Model of de Novo Carcinogenesis,” PLoS One 10 (12), 2015 (pdf).

    31. Charalambous, E., Dikomitou-Eliadou, P., Milis, G., Mitsis, G.D. and D. Eliades “An experimental design for the classification of archaeological ceramic data from Cyprus, and the tracing of inter-class relationships” Journal of Archaeological Science: Reports 7 (6): 465-471, 2016 (pdf)

    32. Loizides C.L., Achilleos A.A., Iannetti G.D. and G.D. Mitsis “Assessment of nonlinear interactions in event-related potentials (ERPs) elicited by stimuli presented at short inter-stimulus intervals,” J Neurophys 113: 3623-3633, 2015 (pdf).

    33. Mitsis, G.D. and D.M. Simpson “Special Issue on Cerebral Autoregulation: Measurement and modeling”, Medical Engineering and Physics 36 (5): 561-562, 2014 (pdf).

    34. van den Abeelen, A.S.S.M, Simpson D., Zhang, R., Tarumi, T., Rickards, C.A., Payne, S.J., Mitsis G.D., Kostoglou K., Marmarelis V.Z., Shin D., Tzeng Y-C., Gommer E., Müller M., Caicedo Dorado A., Yelicich B., Puppo C., Liu X., Czosnyka M., Wang N., Novak V., Panerai R.B. and J.A.H.R. Claassen “Between-center variability in transfer function analysis: a widely used method for linear quantification of the dynamic pressure-flow relation: the CARnet bootstrap study” Medical Engineering and Physics 36(5): 620-627, 2014 (pdf).

    35. Kostoglou K., Debert C.T., Poulin M.J. and G.D. Mitsis “Nonstationary multivariate modeling of cerebral autoregulation during hypercapnia” Medical Engineering and Physics 36(5): 592-600, 2014 (pdf).

    36. Achilleos A.A., Loizides C.L., Hadjiandreou M., Stylianopoulos, T. and G. D. Mitsis “Multiprocess Linear Dynamic Modeling for Individualized Tumor Growth Prediction,” Ann Biomed Engin 42(5): 1095-1111, 2014 (pdf).

    37. Hadjiandreou M.M. and G.D. Mitsis “Mathematical Modeling of Tumor Growth, Drug-Resistance, Toxicity, and Optimal Therapy Design,” IEEE Trans Biomed Engin 61(2): 415-425, 2014 (pdf).

    38. Harris A.D., Roberton V.H., Huckle D.L., Saxena N., Evans C.J., Murphy K., Hall D.E., Bailey D.M., Mitsis G.D., Edden R.A.E. and R.G. Wise, “Temporal dynamics of lactate concentration in the human brain during acute inspiratory hypoxia,” J Magn Reson Imag, 37 (3), 739-745, 2013 (pdf).

    39. Markakis, M.G., Mitsis, G.D., Papavassilopoulos, G.P., Ioannou, P.A. and V.Z. Marmarelis "A Switching Control Strategy for the Attenuation of Blood Glucose Disturbances," Opt Cont Appl Meth 32, 185-195, 2011 (pdf).

    40. Pattichis, C.S., Bamidis, P.D., Christodoulou, C., Kyriakou, E., Mitsis, G.D., Pattichis, M.S. and C. Pitris “Guest Editorial introduction to the special issue on Biomedical Signal Processing and Analysis, selected papers from ITAB 2009”, Biomedical Signal Processing and Control 6(3): 217-218, 2011.

    41. Ioannides A.A. and Mitsis G.D. "Do we need to consider non-linear information flow in corticomuscular interaction?" Clin. Neurophys.121 (3): 272-273, 2010 (pdf).

    42. Mitsis, G. D., R. Zhang, B.D. Levine, E. Tzanalaridou, D. G. Katritsis and V.Z. Marmarelis "Autonomic Neural Control of Cerebral Hemodynamics: A Nonlinear Study," IEEE Engin. Medic. Biol. Magaz. 28 (6): 54-62, 2009 (pdf).

    43. Mitsis, G.D., Markakis, M.G. and V.Z. Marmarelis, "Nonlinear Modeling of Glucose Metabolism: Comparison of Compartmental with Volterra models," IEEE Trans. Biomed. Eng.56 (10): 2347-2358, 2009 (pdf).

    44. Mitsis, G.D., Governo, R.J., Rogers, R. and K.T.S. Pattinson, "The effect of remifentanil upon respiratory variability, evaluated with dynamic modeling," J. Appl. Physiol. 106: 1038-1049, 2009 (pdf).

    45. Pattinson, Κ.Τ.S., Mitsis, G. D., Harvey, A. K., Jbabdi, S., Dirckx, S., Mayhew, S. D., Rogers, R., Tracey, I. and R. G. Wise "Imaging the Human Brainstem Respiratory Network," Neuroimage 44: 295-305, 2009 (pdf).

    46. Mitsis, G.D., Iannetti, G.D., Smart, T.S., Tracey, I. and R.G. Wise "Regions of Interest analysis in fMRI: how do the Definition Criteria influence the inferred Result?," Neuroimage 40: 121-132, 2008 (pdf).

    47. Mitsis, G.D., French, A.S., Hoger, U., Courellis, S. and V Z. Marmarelis. "Principal Dynamic Mode Analysis of Action Potential Firing in a Spider Mechanoreceptor," Biol. Cybern. 96: 113-127, 2007 (pdf).

    48. Mitsis, G.D., Zhang, R., Levine, B.D. and V.Z. Marmarelis. "Cerebral Hemodynamics during Orthostatic Stress assessed by Nonlinear Modeling," J. Appl. Physiol. 101: 354-366, 2006 (pdf).

    49. Mitsis, G.D., Ainslie, P.N., Poulin, M.J., Robbins P.A. and V. Z. Marmarelis. "Nonlinear Modeling of the Dynamic Effects of Arterial Pressure and Blood Gas variations on Cerebral Blood Flow in Healthy Humans" Adv. Exp. Med. Biol. 551: 259-265, 2004 (pdf).

    50. Mitsis, G.D., Poulin, M.J., Robbins, P.A. and V.Z. Marmarelis. "Nonlinear Modeling of the Dynamic Effects of Arterial Pressure and CO2 Variations on Cerebral Blood Flow in Healthy Humans," IEEE Trans. Biomed. Eng. 51: 1932-1943, 2004 (pdf).

    51. Mitsis, G.D., Zhang, R., Levine, B.D. and V.Z. Marmarelis. "Modeling of Nonlinear Systems with Fast and Slow Dynamics. II. Application to Cerebral Autoregulation in Humans," Ann. Biomed. Eng. 30: 555-565, 2002 (pdf).

    52. Mitsis, G.D. and V.Z. Marmarelis. "Modeling of Nonlinear Systems with Fast and Slow Dynamics. I. Methodology," Ann. Biomed. Eng. 30: 272-281, 2002 (pdf).

    53. Nikita, K.S., Mitsis, G.D. and N.K. Uzunoglu. "Analysis of Focusing of Pulsed Baseband Signals inside a Layered Tissue Medium," IEEE Trans. Microw. Theory Techn. 48: 30-39, 2000 (pdf).

Edited Books

  1. Marmarelis, V.Z. and G.D. Mitsis, Editors, Data-driven Modeling for Diabetes Diagnosis and Treatment, Springer Lecture Notes in Bioengineering, 2014.

Book Chapters

  1. Christodoulakis, M., Hadjipapas, A. Papathanasiou, E.S., Anastasiadou, M., Papacostas, S.S. and G.D. Mitsis “On the effect of volume conduction on graph theoretic measures of brain networks in epilepsy,” Electroencephalographic Assessment Techniques: Theory and Applications, Springer Neuromethods series, pp. 103-130, 2015 (pdf).

  2. Marmarelis, V.Z., Shin, D.C. and G.D. Mitsis, “Nonlinear Modeling of the Dynamic Effects of Free Fatty Acids on Insulin Sensitivity,” in Data-driven Modeling for Diabetes Diagnosis and Treatment, Springer Lecture Notes in Bioengineering, pp. 223-237, 2014 (pdf).

  3. Mitsis, G.D. and V.Z. Marmarelis “Data-driven Modeling of Dynamic Insulin-Glucose Interactions: Comparison of Volterra Models with Compartmental Models and Application to Resting Insulin-Glucose Fluctuations in a Fasting Dog,” in Data-driven Modeling for Diabetes Diagnosis and Treatment, Springer Lecture Notes in Bioengineering, pp. 1-35, 2014 (pdf).

  4. Markakis, M.G., Mitsis, G.D., Papavassilopoulos, G.P. and V.Z. Marmarelis “Nonparametric modeling and model-based control of the insulin-glucose system,” in Recent Advances in Biomedical Engineering, edited by D. Campolo, In-Tech, Vienna, Austria, pp. 1-20, 2010 (pdf).

  5. Mitsis, G.D., Zhang, R., Levine, B.D. and V. Z. Marmarelis “Nonlinear Physiological Systems Identification: Application to Cerebral Hemodynamics under Orthostatic Stress,” Mathematical Methods in Scattering Theory and Biomedical Engineering, Proceedings of the 7th International Workshop, edited by D.I. Fotiadis, World Scientific, pp. 362-369, 2006 (pdf).

Conference Papers and Abstracts

    1. Prokopiou, P. Kassinopoulos, M., Xifra-Porxas, A. Boudrias, M.H., Mitsis, G.D. “Estimating hemodynamic response functions using resting-state EEG-fMRI data acquired during wakefulness with eyes open,” Sixth Biennial Conference on Resting State and Brain Connectivity, Montreal QC, September 2018.

    2. Kassinopoulos, M., Xifra-Porxas, A. Prokopiou, P. Boudrias, M.H., Mitsis, G.D. “Physiological noise correction improves the reproducibility of the DMN spatial pattern,” Sixth Biennial Conference on Resting State and Brain Connectivity, Montreal QC, September 2018.

    3. Nikolaou, F., Orphanidou, C., Murphy, K., Wise, R. G., and G.D. Mitsis “Investigation Of Interaction Between Physiological Signals And fMRI Dynamic Functional Connectivity Using Independent Component Analysis,” Proc. 40th Ann. Intern. Conf. IEEE EMBS, pp. 1019-1023, July 2018.

    4. Xifra-Porxas, A., Kostoglou, K., Larivière, S., Niso, G., Kassinopoulos, M., Boudrias, M. H., and Mitsis, G. D. “Identification of Time-Varying Cortico-cortical and Cortico-Muscular Coherence during Motor Tasks with Multivariate Autoregressive Models,” Proc. 40th Ann. Intern. Conf. IEEE EMBS, pp. 1024-1027, Honolulu HI, July 2018.

    5. Durand, A., Achilleos, C., Iacovides, D., Strati, K.S., Mitsis, G.D. and J. Pineau “Contextual Bandits for Adapting Treatment in a Mouse Model of de Novo Carcinogenesis," Proceedings of Machine Learning Research: Machine Learning in Heatlhcare, 85:1–15, 2018

    6. Kostoglou, K., Schondorf, R., Benoit, J., Balegh, S. and G.D. Mitsis "Prediction of the Time to Syncope Occurrence in Patients Diagnosed with Vasovagal Syncope." In Intracranial Pressure & Neuromonitoring XVI, pp. 313-316. Springer, Cham, 2018.

    7. Patmanidis, S., Charalampidis, A.C., Kordonis, I., Mitsis, G.D. and G.P. Papavassilopoulos “Comparing Methods for Parameter Estimation of the Gompertz Tumor Growth Model,” 20th World Congress of the International Federation of Automatic Control (IFAC 2017), Toulouse, France, IFAC-PapersOnLine, 50(1), pp. 12203-12209, 2017.

    8. Kassinopoulos, M., Ghosh, A., Dhamala, E., Boudrias, M.H. and G.D. Mitsis “Cardiac Noise Removal from BOLD fMRI based on a Dynamic Linear Model,” 23rd Annual Meeting of the Organization for Human Brain Mapping, Vancouver BC, June 2017.

    9. Prokopiou, P., Mayhew, S.D., Bagshaw, A.P. and G.D. Mitsis “Time-varying correlations between simultaneous BOLD-fMRI and EEG signals recorded at rest,” 23rd Annual Meeting of the Organization for Human Brain Mapping, Vancouver BC, June 2017.

    10. Xifra-Porxas, A., Larivière, S., Kostoglou, K., Kassinopoulos, M., Niso, G., Boudrias, M.H. and G.D. Mitsis “Cortico-cortical and corticomuscular coherence using time-varying multivariate autoregressive models,” 23rd Annual Meeting of the Organization for Human Brain Mapping, Vancouver BC, June 2017.

    11. Lariviere, S., Xifra-Porxas, A., Niso G, Mitsis G.D. and M.H. Boudrias “Motor-Task Induced Changes in Resting-State MEG Networks in Healthy Aging” 23rd Annual Meeting of the Organization for Human Brain Mapping, Vancouver BC, June 2017.

    12. Kostoglou K., Wright, A.D., Smirl, J.D., Bryk, K, van Donkelaar, P. and G.D. Mitsis “Cerebral autoregulation in young athletes following concussion,” 38th Ann. Intern. Conf. IEEE EMBS, pp. 696-699, Orlando FL, August 2016.

    13. Prokopiou, P.C., Murphy, K, Wise, R.G. and G.D. Mitsis “Estimation of voxel-wise dynamic cerebrovascular reactivity curves from resting-state fMRI data,” 38th Ann. Intern. Conf. IEEE EMBS, pp. 1143-1146, Orlando FL, August 2016.

    14. Anastasiadou, M, Hadjipapas, A, Christodoulakis, M, Papathanasiou, E, Papacostas, S and G.D. Mitsis “Epileptic Seizure Onset Correlates with Long Term EEG Functional Brain Network Properties,” 38th Ann. Intern. Conf. IEEE EMBS, pp. 2822-2825, Orlando FL, August 2016.

    15. Kostoglou K., Wright, A.D., Smirl, J.D., Bryk, K, van Donkelaar, P. and G.D. Mitsis “Concussion and Cerebral Autoregulation in Young Athletes,” 16th International Symposium on Intracranial Pressure and Neuromonitoring, Boston MA, June 2016.

    16. Nikolaou, F., Orphanidou, C. Papakyriakou, P., Murphy, K., Wise, R.G. and G.D. Mitsis “Physiological Signals Modulate Dynamic Functional Connectivity in Resting-State fMRI,” 22nd Annual Meeting of the Organization for Human Brain Mapping, Geneva, Switzerland, June 2016.

    17. Iakovidou, N.D., Christodoulakis, M., Papathanasiou, E.S., Papacostas, S.S. and G.D. Mitsis “Introducing weighted approaches to study network brain dynamics from EEG epilepsy measurements: the EigenBrain algorithm,” 15th IEEE International Biomedical Informatics and Bioengineering Conference (BIBE 2015), Belgrade, Serbia, November 2015.

    18. Kostoglou, K. Michmizos, K.P., Stathis, P., Sakas, D., Nikita, K.S. and G.D. Mitsis “Prediction of the outcome of Subthalamic Nucleus Deep Brain Stimulation in patients with Parkinson’s Disease,” Annual Meeting of the Biomedical Engineering Society 2015, Tampa FL, October 2015.

    19. Anastasiadou, M., Christodoulakis, M., Papathanasiou, E.S., Papacostas, S.S. and G.D. Mitsis “Automatic Detection and Removal of Muscle artifacts from Scalp EEG Recordings in Patients with Epilepsy,” 37th Ann. Intern. Conf. IEEE EMBS, pp. 1946-1950, Milano, Italy, August 2015.

    20. Papadopoulos, A., Kostoglou K., Mitsis, G.D. and T. Theocharides “GPU technology as a platform for accelerating physiological systems modeling based on Laguerre-Volterra networks,” 37th Ann. Intern. Conf. IEEE EMBS, pp. 3283-3286, Milano, Italy, August 2015.

    21. Nikolaou, F., Orphanidou, C. Wise, R.G. and G.D. Mitsis “Arterial CO2 Effects Modulate Dynamic Functional Connectivity in Resting-State fMRI,” 37th Ann. Intern. Conf. IEEE EMBS, pp. 1809-1812, Milano, Italy, August 2015.

    22. Kostoglou K., Poulin M.J. and G.D. Mitsis “The time-dependent variability of arterial CO2 influences the nonstationary properties of dynamic CO2 reactivity estimates during resting conditions,” 5th Annual Cerebral Autoregulation Network Meeting (CARNet), Southampton, UK, July 2015.

    23. Anastasiadou, M, Hadjipapas, A, Christodoulakis, M, Papathanasiou, E, Papacostas, S and G.D. Mitsis “Detection and Removal of Muscle artifacts from Scalp EEG Recordings in Patients with Epilepsy” 14th IEEE International Biomedical Informatics and Bioengineering Conference (BIBE 2014), pp. 291-296, Boca Raton FL, November 2014.

    24. Kostoglou, K., Debert, C.T., Poulin, M.J. and G.D. Mitsis, “Multivariate nonstationary modeling of cerebral hemodynamics,” 36th Ann. Intern. Conf. IEEE EMBS, pp. 6028-6031, Chicago IL, August 2014 (invited).

    25. 9. Christodoulakis, M., Hadjipapas, A., Papathanasiou, E., Anastasiadou, M., Papacostas, S. and G.D. Mitsis “Periodicity in functional brain networks: Application to scalp EEG from epilepsy patients,” 36th Ann. Intern. Conf. IEEE EMBS, pp. 2805-2808, Chicago IL, August 2014.

    26. Loizides, C., Achilleos, A., Iannetti, G.D. and G.D. Mitsis “A mixed effects model framework for the assessment of nonlinear interactions in event-related potentials (ERPs) elicited by identical successive stimuli” 36th Ann. Intern. Conf. IEEE EMBS, pp. 4543-4546, Chicago IL, August 2014.

    27. Kostoglou K, Hadjipapas A., Lowet E., Roberts M.J., De Weerd P., and G.D. Mitsis, "Accurate spike time prediction from LFP in monkey visual cortex: a nonlinear system identification approach", 9th Forum of the Federation of European Neuroscience Societies (FENS), Milan, Italy, July 2014.

    28. Loizides, C., Achilleos, A., Iannetti, G.D. and G.D. Mitsis, "Assessment of nonlinear interactions in event-related potentials (ERPs) elicited by stimuli presented at short inter-stimulus intervals", 20th Annual Meeting of the Organization for Human Brain Mapping, Hamburg, Germany, June 2014.

    29. Prokopiou, P.C., Pattinson, K.T.S., Wise, R.G. and G.D. Mitsis, "Regional variability of the brain hemodynamic response to spontaneous and step-induced CO2 changes", 20th Annual Meeting of the Organization for Human Brain Mapping, Hamburg, Germany, June 2014.

    30. Christodoulakis, M., Papathanasiou, E., Hadjipapas, A., Anastasiadou, M, Papacostas, S. and G.D. Mitsis, "Long-duration properties of functional brain networks in patients with epilepsy", 20th Annual Meeting of the Organization for Human Brain Mapping, Hamburg, Germany, June 2014.

    31. Kostoglou, K., Debert, C.T., Poulin, M.J. and G.D. Mitsis, "Nonstationary multivariate modeling of cerebral autoregulation during free-breathing and hypercapnic conditions" Proc 8th Conference of the European Study Group on Cardiovascular Oscillations, pp. 193-194, Trento, Italy, May 2014.

    32. Christodoulakis, M., Hadjipapas, A., Papathanasiou, E, Anastasiadou, M., Papacostas, S.S., and G.D. Mitsis “Graph-theoretic analysis of scalp EEG brain networks in epilepsy - the influence of montage and volume conduction,” 13th IEEE International Biomedical Informatics and Bioengineering Conference (BIBE 2013), pp. 1-4, Chania, Crete, November 2013.

    33. Achilleos, A.A., Loizides, C.L., Hadjiandreou, M., Stylianopoulos, T. and G.D. Mitsis “Multi-process Dynamic Modeling of Tumor-specific Evolution,” 13th IEEE International Biomedical Informatics and Bioengineering Conference (BIBE 2013), pp. 1-4, Chania, Crete, November 2013.

    34. Bromis, K., Karanasiou, I., Matsopoulos, G., Ventouras, E., Uzunoglu, N, Mitsis, G.D., Karavasilis, E., Papathanasiou, M., Kelekis, N. and V. Kouloulias “Resting state and task related fMRI in small cell lung cancer patients,” 13th IEEE International Biomedical Informatics and Bioengineering Conference (BIBE 2013), pp. 1-4, Chania, Crete, November 2013.

    35. Hadjiandreou M.M. and G.D. Mitsis “Taking a break from chemotherapy to fight drug-resistance: The cases of Cancer and HIV/AIDS,” 35th Ann. Intern. Conf. IEEE EMBS, pp. 197-200, Osaka, Japan, July 2013.

    36. Christodoulakis, M. Papathanasiou, E.S., Hadjipapas, A., Anastasiadou, M., Papacostas, S.S. and G.D. Mitsis “Patterns of Brain Connectivity in Epileptic Patients,” International Epilepsy Congress, Montreal, QC, Canada, June 2013.

    37. Hadjiandreou M.M. and G.D. Mitsis "Model-based control of cancer progression subject to drug-resistance” 51st IEEE Conference on Decision and Control, pp. 350-355, Maui HI, December 2012.

    38. Kostoglou, K., Michmizos, K.P., Stathis, P., Sakas, D., Nikita, K.S. and G.D. Mitsis “Prediction of the Parkinsonian subthalamic nucleus spike activity from local field potentials using nonlinear dynamic models,” 12th IEEE International Biomedical Informatics and Bioengineering Conference (BIBE 2012), pp. 298-302, Larnaca, Cyprus, November 2012.

    39. Achilleos, A.A., Loizides, C.L., Stylianopoulos, T. and G.D. Mitsis “Linear Dynamic Modelling and Bayesian Forecasting of Tumor Evolution,” 12th IEEE International Biomedical Informatics and Bioengineering Conference (BIBE 2012), pp. 671-676, Larnaca, Cyprus, November 2012.

    40. Hadjiandreou M.M. and G.D. Mitsis “Model-based control of tumor progression” 12th IEEE International Biomedical Informatics and Bioengineering Conference (BIBE 2012), pp. 614-619, Larnaca, Cyprus, November 2012.

    41. Christodoulakis, M., Anastasiadou, M., Papacostas, S.S., Papathanasiou, E and G.D. Mitsis “Investigation of network brain dynamics from EEG measurements in patients with epilepsy using graph-theoretic approaches,” 12th IEEE International Biomedical Informatics and Bioengineering Conference (BIBE 2012), pp. 303-308, Larnaca, Cyprus, November 2012.

    42. Mitsis G.D. "Nonlinear, data-driven modeling of cerebral hemodynamics from spontaneous physiological variability," Proc. 34th Ann. Intern. Conf. IEEE EMBS, San Diego CA, September 2012 (invited).

    43. Hadjiandreou M.M., Gkoutos G.V., Conejeros R. and G.D. Mitsis “Investigation of cancer progression via mathematical modelling and optimal control” 11th International Symposium on Process Systems Engineering (PSE2012), Singapore, July 2012.

    44. Prokopiou, P., Pattinson, K.T.S., Wise, R.G. and G.D. Mitsis “Identification of the regional variability of the brain hemodynamic response to spontaneous and step-induced CO2 changes using function expansions,” Proc. 16th IFAC Symposium on System Identification, pp. 792-797, Brussels, Belgium, July 2012 (invited).

    45. Hadjiandreou M.M. and G.D. Mitsis “Towards tumor growth control subject to reduced toxicity,” American Control Conference (ACC2012), pp. 5592-5597, Montreal QC, Canada, June 2012.

    46. Hadjiandreou M.M. and G.D. Mitsis “Model-based treatment of colon cancer in mice,” European Symposium on Computer Aided Process Engineering (ESCAPE22), London, UK, June 2012.

    47. Markou M.M., Poulin M.J. and G.D. Mitsis “Nonstationary analysis of cerebral hemodynamics using adaptive multiple-input nonlinear models”, 50th IEEE Conference on Decision and Control and European Control Conference, pp. 5768 – 5773, Orlando FL, December 2011.

    48. Mitsis G.D. and M.M. Markou “Recursive least squares estimation of nonlinear multiple-input systems using orthonormal function expansions,” Proc. 33rd Ann. Intern. Conf. IEEE EMBS, pp. 3728-3731, Boston MA, September 2011.

    49. Mitsis G.D. “The Volterra-Wiener approach in neuronal modeling”, Proc. 33rd Ann. Intern. Conf. IEEE EMBS, pp. 5912-5915, Boston MA, September 2011 (invited).

    50. Mitsis G.D. “Data-driven modeling of cerebral hemodynamics,” Cerebral haemodynamics: measurement & management IPEM meeting, London, UK, June 2011 (invited).

    51. Mitsis, G.D. and G.D. Iannetti “Assessment of nonlinear interactions in event-related potentials (ERPs) elicited by stimuli presented at short inter-stimulus intervals” Proc. 32nd Ann. Intern. Conf. IEEE EMBS, pp. 4834 - 4837, Buenos Aires, Argentina, August 2010.

    52. Mitsis, G.D. and S. Jbabdi “Bayesian estimation of dynamic systems function expansions,” Proc. 4th Intern. Symp. Communic. Cont. Signal Proc. (ISCCSP 2010), pp. 1-5,Limassol, Cyrpus, March 2010.

    53. Mitsis, G.D. “Nonlinear, data-driven modeling of cardiovascular and respiratory control mechanisms,” Proc. 9th International Conference on Information Technology and Applications in Biomedicine (ITAB 2009), pp. 1-4, Larnaca, Cyprus, November 2009.

    54. Mitsis, G.D. “Nonlinear, data-driven modeling of cardiorespiratory control mechanisms,” Proc. 31st Ann. Intern. Conf. IEEE EMBS, pp. 4360-4366, Minneapolis, MN, September 2009 (invited).

    55. Mitsis, G.D., Governo, R.J., Rogers, R. and Pattinson, K.T.S. “The effect of remifentanil on respiratory control, assessed from resting physiological variability,” Proc. 6th International Biosignal Interpretation Conference (BSI 2009), pp. 100-103, New Haven, CT, June 2009.

    56. Mitsis, G.D., Harvey, A. K., Dirckx, S., Mayhew, S. D., Rogers, R., Tracey, I., Wise, R.G. and K.T.S. Pattinson “Modeling of regional dynamic CO2 reactivity in respiratory related brain areas using BOLD fMRI,” Proc. 8th Intern. Conf. Bioinform. Bioengin. (BIBE), pp. 1-5, Athens, Greece, October 2008.

    57. Mitsis, G.D. and S. Jbabdi “Bayesian model order selection for nonlinear systems function expansions,” Proc. 30th Ann. Intern. Conf. IEEE EMBS, pp. 2165-2168, Vancouver, BC, Canada, August 2008.

    58. Markakis, M.G., Mitsis, G.D., Papavassilopoulos, G.P. and V.Z. Marmarelis “Model Predictive Control of Blood Glucose in Type 1 Diabetics: the Principal Dynamic Modes approach,” 30th Ann. Intern. Conf. IEEE EMBS, pp. 5466-5469, Vancouver, BC, Canada, August 2008.

    59. Markakis, M.G., Mitsis, G.D. and V.Z. Marmarelis “Computational Study of an Augmented Minimal Model for Glycaemia Control,” 30th Ann. Intern. Conf. IEEE EMBS, pp. 5445-5448, Vancouver, BC, Canada, August 2008.

    60. Pattinson, Κ.Τ.S., Mitsis, G. D., Harvey, A. K., Jbabdi, S., Dirckx, S., Mayhew, S. D., Rogers, R., Tracey, I. and R. G. Wise “Imaging the human brainstem respiratory network,” Intern. Conf. Amer. Thoracic Soc., Toronto, Canada, May 2008.

    61. G. D. Mitsis, R. Zhang, B.D. Levine, E. Tzanalaridou, D. G. Katritsis and V.Z. Marmarelis “Autonomic Neural Control of Cerebral Hemodynamics: A Nonlinear Study,” 5th Conf. Europ. Study Group Cardiov. Oscill., Parma, Italy, April 2008.

    62. Pattinson, K.T.S., Governo, R.J., Rogers, R., Russell, E.C., Tracey, I., Wise, R.G. and G.D. Mitsis. “Opioids increase respiratory variability in conscious humans,” Annual Congress of the Association of Anaesthetists of Great Britain & Ireland, Dublin, Ireland, September 2007.

    63. Mitsis, G.D., Debert, C.T., Hajo, M.I., Marmarelis, V.Z. and M. J. Poulin “Nonlinear, multiple-input modeling of cerebral hemodynamics during baseline and hypercapnia in young and post-menopausal women,” Proc. 29th Ann. Intern. Conf. IEEE EMBS, pp. 2855-2858, Lyon, France, August 2007.

    64. Mitsis, G.D. and V.Z. Marmarelis, “Nonlinear modeling of glucose metabolism: comparison of parametric vs. nonparametric methods,” Proc. 29th Ann. Intern. Conf. IEEE EMBS, pp. 5967-5970, Lyon, France, August 2007.

    65. Mitsis, G.D., Pattinson, Κ.Τ., Harvey, A. K., Dirckx, S., Mayhew, S. D., Hoar, H., Rogers, R., Tracey, I. and R. G. Wise “Modeling of dynamic CO2 reactivity in the human brainstem using BOLD FMRI,” 13th Ann. Meet. Organ. Hum. Brain Mapp., Chicago, IL, June 2007.

    66. Mitsis, G.D., Iannetti, G.D., Smart, T.S., Tracey, I. and R.G. Wise “Regions of interest analysis: Insights from a pharmacological fMRI experiment,” 13th Ann. Meet. Organ. Hum. Brain Mapp., Chicago, IL, June 2007.

    67. Pattinson, Κ.Τ., Mitsis, G. D., Harvey, A. K., Dirckx, S., Mayhew, S. D., Hoar, H., Rogers, R., Tracey, I. and R. G. Wise “Mapping BOLD Sensitivity to CO2 in the Human Brainstem,” Joint Ann. Meet. Intern. Soc. Magn. Reson. Imag. (ISMRM)-ESMRMB, Berlin, Germany, May 2007.

    68. Pattinson, Κ.Τ., Mitsis, G. D., Harvey, A. K., Dirckx, S., Mayhew, S. D., Hoar, H., Rogers, R., Tracey, I. and R. G. Wise, “The BOLD FMRI response to Spontaneous Fluctuations in CO2, Evaluated in the Human Brainstem,” Joint Ann. Meet. Intern. Soc. Magn. Reson. Imag. (ISMRM)-ESMRMB, Berlin, Germany, May 2007.

    69. Mitsis, G.D., Debert, C.T., Hajo, M.I., Marmarelis, V.Z. and M. J. Poulin “Nonlinear, multiple-input modeling of cerebral hemodynamics during baseline and hypercapnia in young and post-menopausal women,” 15th Intern. Hypoxia Symp., Lake Louise, Alberta, Canada, February 2007.

    70. Mitsis, G.D., French, A.S., Hoger, U, Courellis, S. and V Z. Marmarelis "Nonlinear Dynamic Modeling of Action Potential Encoding in two Types of Spider Mechanoreceptors," Proc. 3rd Europ. Med. Biol. Eng. Conf (EMBEC 05), IFBME Proc. 11(1), pp. 1061-1065, Prague, Czech Republic, November 2005 (pdf).

    71. Mitsis, G.D., Zhang, R., Levine, B.D. and V. Z. Marmarelis "Nonlinear Physiological Systems Identification: Application to Cerebral Hemodynamics under Orthostatic Stress," Proc. 7th Intern. Worksh. Math. Meth. Scatter. Theory Biomed. Engin., Nymphaio, Greece, September 2005.

    72. Mitsis, G.D., Zhang, R., Levine, B.D. and V. Z. Marmarelis "Cerebral Hemodynamics under Orthostatic Stress: Assessment by Nonlinear Modeling," 35th Intern. Cong. Physiol. Sciences (IUPS), San Diego, CA, April 2005.

    73. Mitsis, G.D., Courellis, S., French, A.S. and V Z. Marmarelis "Principal Dynamic Mode Analysis of a Spider Mechanoreceptor Action Potentials," Proc. 25th Anniv. Conf. IEEE EMBS, Cancun, Mexico, pp. 2051-2054, September 2003 (pdf).

    74. Mitsis, G.D., Mahalingam, A., Zhang, R., Levine, B.D. and V. Z. Marmarelis "Nonlinear Analysis of Dynamic Cerebral Autoregulation in Humans under Orthostatic Stress," Proc. 25th Anniv. Conf. IEEE EMBS, Cancun, Mexico, pp. 398-401, September 2003 (pdf).

    75. Mitsis, G.D., Ainslie, P.N., Poulin, M.J., Robbins P.A. and V. Z. Marmarelis "Nonlinear Modeling of the Dynamic Effects of Arterial Pressure and Blood Gas variations on Cerebral Blood Flow in Healthy Humans," 9th Oxford Conf. Postgen. Persp. Model. Contr. Breath., Paris, France, September 2003.

    76. Marmarelis, V.Z., Mitsis, G.D., Huecking, K. and R.N. Bergman. "Nonlinear Modeling of the Insulin-Glucose Relationship in Dogs," Proc. 2nd J. Meet. IEEE EMBS-BMES, Houston, TX, vol. 1: 224-225, October 2002 (pdf).

    77. Mitsis, G.D., Poulin, M.J., Robbins, P.A. and V.Z. Marmarelis. "Nonlinear Multivariate Analysis of Dynamic Cerebral Blood Flow Regulation in Humans," Proc. 2nd J. Meet. IEEE EMBS-BMES, Houston, TX, vol. 2: 1341-1342, October 2002 (pdf).

    78. Mitsis, G.D. and V.Z. Marmarelis. "Nonlinear Modeling of Physiological Systems with multiple inputs", Proc. 2nd J. Meet. IEEE EMBS-BMES, Houston, TX, vol. 1: pp. 21-22, October 2002 (pdf).

    79. Marmarelis, V.Z. and G.D. Mitsis. "Nonparametric Modeling of the Glucose-Insulin System", Ann. Meet. BMES, Seattle, WA, October 2000.

    80. Mitsis, G.D., Zhang, R., Levine, B.D. and V.Z. Marmarelis "Nonlinear Modeling of Dynamic Cerebral Autoregulation in Humans",Ann. Meet. BMES, Seattle, WA, October 2000.

    81. Mitsis, G.D. and V.Z. Marmarelis "Modeling of Nonlinear Systems with Fast and Slow Dynamics using Laguerre-Volterra Networks",Ann. Meet. BMES, Seattle, WA, October 2000.

    82. Nikita, K.S., Mitsis, G.D. and N.K. Uzunoglu. "Generation of a Focused Electromagnetic Field Inside a Tissue Medium by Using Short Baseband Pulses", Proc. 20th Ann. Intern. Conf. IEEE EMBS, vol. 20 (6): 3257-3260, 1998 (pdf).

    83. Nikita, K.S. and G.D. Mitsis, "Analysis of coupling phenomena in a TEM concentric array of applicators radiating into a layered biological tissue model," Proc. 1998 AP-S Intern. Symp., 1984-1987, 1998 (pdf).

    84. Nikita, K.S., Mitsis, G.D. and N.K. Uzunoglu, "Investigation of Focusing of Short Baseband Pulses inside Biological Tissue Media Using a TEM Concentric Array of Applicators", Proc. Intern. Symp. Electrom. Theory, URSI, 414-416, Thessaloniki, Greece, May 1998.